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Learning Responsive Data Visualization

You're reading from   Learning Responsive Data Visualization Create stunning data visualizations that look awesome on every device and screen resolutions

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781785883781
Length 258 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Christoph Körner Christoph Körner
Author Profile Icon Christoph Körner
Christoph Körner
Erik Hanchett Erik Hanchett
Author Profile Icon Erik Hanchett
Erik Hanchett
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with Responsive Design, Bootstrap, and D3.js FREE CHAPTER 2. Creating a Bar Chart Using D3.js and SVG 3. Loading, Filtering, and Grouping Data 4. Making the Chart Responsive Using Bootstrap and Media Queries 5. Building Responsive Interactions 6. Designing Transitions and Animations 7. Creating Maps and Cartographic Visualizations Using GeoJSON 8. Testing Responsive Visualizations 9. Solving Cross-Browser Issues Index

Helpful tools for creating maps in D3


Drawing maps requires a combination of knowledge and good understanding of GIS, GeoJSON, Projections, and so on as well as techniques and skills for creating the maps. In this section, we will look at a few selected tools that facilitate the generation of interactive maps with D3.

Color scales

As we discussed in the first section, the colors and color scales that the author chooses can have a huge impact for the reader to perceive the visualization. Therefore, I want to show how we can efficiently create color scales in D3.

Scales can map a certain domain of values to a range of different values using interpolation. We usually use this to create scales for axes. Axes, however, map a domain of values onto a pixel range. In our case, we want to use these scales on colors to map a value domain to a color range. We can achieve this using these color interpolation functions:

  • d3.interpolateRgb: RGB and HEX values, such as #00FF00

  • d3.interpolateHsl: HSL values...

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